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OZ Vision Inc.: filings

Every OZ Vision Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 37 filings, each linked to its SEC index.

Filings with published measures

Each page shows what one filing reported, as tagged in that filing, with the periods it covered. Later filings can restate a value; the company overview shows the latest-filed value per period.

FormFiledFiscal periodMeasuresFactsSEC accession
10-Q2026-05-15fiscal Q3 202624740001493152-26-023256
10-Q2026-02-13fiscal Q2 202624740001493152-26-006704
10-Q2025-11-10fiscal Q1 202624500001493152-25-021363
10-K/A2025-10-16fiscal FY 202527530001493152-25-018232
10-Q2025-05-05fiscal Q3 202525730001641172-25-008469
10-Q2025-02-10fiscal Q2 202525760001493152-25-005610
10-Q2024-11-07fiscal Q1 202525510001493152-24-044037
10-K2024-09-30fiscal FY 202429580001493152-24-038840
10-Q/A2024-09-16fiscal Q3 202427790001493152-24-036286
10-Q/A2024-09-16fiscal Q2 202428830001493152-24-036283
10-Q/A2024-08-29fiscal Q1 202425540001493152-24-034281
10-Q2024-04-25fiscal Q3 202420570001607062-24-000137
10-Q/A2024-03-28fiscal Q2 202420570001607062-24-000100
10-Q/A2024-03-07fiscal Q2 202420570001607062-24-000087
10-K/A2024-03-07fiscal FY 202320480001607062-24-000086
10-Q2024-02-12fiscal Q2 202420570001607062-24-000057
10-Q2023-11-03fiscal Q1 202419430001607062-23-000468
10-K/A2023-08-10fiscal FY 202320480001607062-23-000400
10-K2023-08-09fiscal FY 202320480001607062-23-000391
10-Q2023-04-25fiscal Q3 202323600001607062-23-000231
10-Q2023-01-26fiscal Q2 202322600001607062-23-000036
10-Q2022-11-03fiscal Q1 202224540001607062-22-000652
10-K/A2022-10-25fiscal FY 202224550001607062-22-000640
10-K2022-08-16fiscal FY 202224550001607062-22-000515
10-Q2022-05-12fiscal Q3 202224670001607062-22-000325
10-Q2022-01-18fiscal Q2 202225700001607062-22-000022
10-Q2021-10-20fiscal Q1 202223520001607062-21-000437
10-K2021-08-13fiscal FY 202123500001607062-21-000265
10-Q2021-04-23fiscal Q3 202124680001607062-21-000095
10-Q2021-01-26fiscal Q2 202124680001607062-21-000015
10-Q2020-10-15fiscal Q1 202122500001607062-20-000303
10-K2020-08-12fiscal FY 202024500001607062-20-000215
10-Q2020-04-21fiscal Q3 202017500001607062-20-000112
10-Q2020-01-17fiscal Q2 202017500001607062-20-000019
10-Q2019-10-15fiscal Q1 202017380001607062-19-000390
10-K2019-07-29fiscal FY 201922470001607062-19-000303
10-Q2019-04-29fiscal Q3 201917480001607062-19-000188

Inspect the source

Entity
OZ Vision Inc. / CIK 0001751707
Captured
2026-09-21T17:25:58.673Z
SEC response SHA-256
18510916a04de7fda3b500cfa301d5f079ffcc243ea4d0f1d9db15b3c0f84a9b

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Every published concept a filing tagged, with the periods it covered, as reported in that filing at capture time. Forms 10-K, 10-K/A, 10-Q, 10-Q/A, 20-F, 20-F/A, 40-F, 40-F/A. A filing page needs at least 8 published concepts. Later filings can restate these values; the company history pages show the latest-filed value per period.

Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.

Use this in research

A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.

These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.

Research methodology · Execution and cost assumptions · Check backtest overfitting

Build with the open-source tools

Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001751707.json") as response:
    record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
    print(concept["tag"], next(iter(concept["observations"])))